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Dialectic Model Architecture

The dialectic system in Epistemic Me is designed to facilitate the interaction between AI agents and belief systems through a structured dialogue process. Here’s a detailed breakdown of the architecture:
Dialectic Model Architecture Diagram

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Core Components

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Service Layers

  • Belief Service: Manages belief operations and persistence
  • Dialectic Service: Handles dialectic interactions and processing
  • Helper Service: Provides utility functions and shared operations

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AI Agent Integration

The system integrates with AI agents through several key components:
  • Proto Model: Defines base interaction protocols
  • Service: Handles request/response patterns
  • AI Agent: Processes dialectic interactions and belief updates

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Belief System Components

The belief system consists of several interconnected parts:
  1. Belief System
    • Manages belief states and relationships
    • Handles belief context tracking
    • Processes belief updates
  2. Ontology
    • Defines relationships between beliefs
    • Maintains belief hierarchies
    • Tracks belief context mappings
  3. Observation Contexts
    • Manages contextual frameworks
    • Tracks observation patterns
    • Links beliefs to observable phenomena

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Dialectic Flow

The dialectic process follows a structured flow:
  1. Dialectical Interaction
    • Initiates with user or system input
    • Processes through belief validation
    • Generates appropriate responses
  2. Predicted Observation
    • Uses belief system to generate predictions
    • Compares against actual observations
    • Updates belief system based on discrepancies
  3. Intersubjectivity
    • Manages shared understanding between agents
    • Processes belief conflicts and resolutions
    • Updates shared context models

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Implementation Details

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Key Processes

  1. Belief Update Cycle
    • GenerateBeliefSystem: Creates initial belief structures
    • UpdateBeliefSystem: Processes belief modifications
    • GeneratePredictions: Creates observation-based predictions
  2. Dialectic Processing
    • InitiateDialectic: Starts new dialectic sessions
    • ProcessInteraction: Handles ongoing dialectic flows
    • UpdateBeliefs: Modifies beliefs based on interactions
  3. Observation Handling
    • GenerateObservation: Creates new observations
    • CompareObservation: Validates against predictions
    • UpdateContext: Modifies observation contexts

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Integration Points

The system provides several integration points for developers:
  1. Service Methods
type DialecticService interface {
    InitiateDialectic(context.Context, *proto.InitiateRequest) (*proto.InitiateResponse, error)
    ProcessInteraction(context.Context, *proto.InteractionRequest) (*proto.InteractionResponse, error)
    UpdateBeliefs(context.Context, *proto.UpdateRequest) (*proto.UpdateResponse, error)
}
  1. AI Agent Integration
class AIAgent:
    def process_dialectic(self, interaction: DialecticInteraction) -> Response:
        # Process dialectic interaction
        pass

    def update_beliefs(self, observation: Observation) -> BeliefUpdate:
        # Update beliefs based on observation
        pass

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Best Practices

When implementing the dialectic model:
  1. Belief System Management
    • Maintain atomic belief updates
    • Track belief provenance
    • Handle belief conflicts gracefully
  2. Dialectic Processing
    • Implement proper error handling
    • Maintain interaction context
    • Track belief update history
  3. Observation Handling
    • Validate observations against predictions
    • Track observation context changes
    • Handle observation conflicts